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Revised and Selected Papers of the International Joint Conference
Kernel-based Data Fusion for Machine Learning formatIsbn:Softcover - 9783642267512 Solids and Porous MediaData fusion problems arise frequently in many different fields. This book provides a specific introduction to data fusion problems using support vector machines. In the first part, this book begins with a brief survey of additive models and Rayleigh quotient objectives in machine learning, and then introduces kernel fusion as the additive expansion of support vector machines in the dual problem. The second part presents several novel kernel fusion
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